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Reproductive and perinatal epidemiology has a number of unique challenges that require careful attention when designing research and analyzing data. These include conceptual considerations such as defining critical and sensitive windows consistent with the highly interrelated and timed nature of human reproduction and development, and measuring maternal, paternal or parental exposures for couple dependent outcomes such as pregnancy. Methodologic considerations discussed in the chapter include the known clustering of study outcomes such as successive pregnancies, multiple births or consecutive infertility treatment cycles, along with interval censoring and truncation issues. In addition, the chapter reviews modeling strategies suitable for addressing clustered outcomes such as hierarchical and semi-parametric models, and methods for addressing censoring and truncation.

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in OSO for personal use (for details see www.oxfordscholarship.com/page/privacy-policy).date: 25 May 2019